Add Keras model

.gitattributes

@@ -32,3 +32,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
+model.png filter=lfs diff=lfs merge=lfs -text
+variables/variables.index filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,55 @@
+---
+library_name: keras
+---
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+
+| Hyperparameters | Value |
+| :-- | :-- |
+| name | AdamWeightDecay |
+| learning_rate.class_name | WarmUp |
+| learning_rate.config.initial_learning_rate | 0.0002 |
+| learning_rate.config.decay_schedule_fn.class_name | PolynomialDecay |
+| learning_rate.config.decay_schedule_fn.config.initial_learning_rate | 0.0002 |
+| learning_rate.config.decay_schedule_fn.config.decay_steps | 22180 |
+| learning_rate.config.decay_schedule_fn.config.end_learning_rate | 0.0 |
+| learning_rate.config.decay_schedule_fn.config.power | 1.0 |
+| learning_rate.config.decay_schedule_fn.config.cycle | False |
+| learning_rate.config.decay_schedule_fn.config.name | None |
+| learning_rate.config.decay_schedule_fn.__passive_serialization__ | True |
+| learning_rate.config.warmup_steps | 2 |
+| learning_rate.config.power | 1.0 |
+| learning_rate.config.name | None |
+| decay | 0.0 |
+| beta_1 | 0.8999999761581421 |
+| beta_2 | 0.9990000128746033 |
+| epsilon | 1e-08 |
+| amsgrad | False |
+| weight_decay_rate | 0.01 |
+| training_precision | float32 |
+
+
+ ## Model Plot
+
+<details>
+<summary>View Model Plot</summary>
+
+![Model Image](./model.png)
+
+</details>

history.json

@@ -0,0 +1,17 @@
+{
+  "end_logits_accuracy": [
+    0.6592957973480225,
+    0.7783112525939941,
+    0.7798101902008057
+  ],
+  "loss": [
+    1.2493689060211182,
+    0.8070452809333801,
+    0.8078026175498962
+  ],
+  "start_logits_accuracy": [
+    0.6210328340530396,
+    0.7414683103561401,
+    0.743316650390625
+  ]
+}

keras_metadata.pb

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+size 72431

saved_model.pb

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variables/variables.data-00000-of-00001

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variables/variables.index

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